Inexact genetic algorithm approach to target values setting of engineering requirements in QFD

H. Bai, Chun Kit Kwong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

46 Citations (Scopus)

Abstract

In Quality Function Deployment, determination of the target values for engineering requirements is the most difficult process. A fuzzy optimization model is presented for the determination of target values for engineering requirements in Quality Function Deployment. An inexact genetic algorithm approach was introduced to solve the model that takes the mutation along the weighted gradient direction as a genetic operator. Instead of obtaining one set of exact optimal target values, the approach can generate a family of inexact optimal target values setting within an acceptable satisfaction degree. Through an interactive approach, a design team can determine a combination of preferred solution sets from which a set of preferred target values of engineering requirements based on a specific design scenario can be obtained. An example of car door design is used to illustrate the approach.
Original languageEnglish
Pages (from-to)3861-3881
Number of pages21
JournalInternational Journal of Production Research
Volume41
Issue number16
DOIs
Publication statusPublished - 10 Nov 2003

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Fingerprint

Dive into the research topics of 'Inexact genetic algorithm approach to target values setting of engineering requirements in QFD'. Together they form a unique fingerprint.

Cite this